Model comparison

Claude Sonnet 4 vs DeepSeek-V3

Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 39.5 on the Noometry Index. DeepSeek-V3 costs 15× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.

Last verified October 11, 2026. 42 shared benchmarks.

Claude Sonnet 4 Anthropic

40.8

Rank #145 Confirmed

DeepSeek-V3

DeepSeek

39.5

Rank #166 Confirmed

Summary

They share 42 benchmarks with published results for both. Claude Sonnet 4 scores higher in 4 categories and DeepSeek-V3 in 4 categories; 6 gaps are clear of the uncertainty.
The widest gap is in math, where Claude Sonnet 4 leads 43.3 to 32.1.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 71.1% for Claude Sonnet 4 and 37.8% for DeepSeek-V3.
DeepSeek-V3 is cheaper at $0.24 / $0.90 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
Claude Sonnet 4 accepts more context: 200K tokens versus 164K.
DeepSeek-V3 has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4 and DeepSeek-V3 specifications
	Claude Sonnet 4	DeepSeek-V3
Provider	Anthropic	DeepSeek
Noometry Index	40.8	39.5
Released	2025-05-22	2024-12-26
Weights	Proprietary	Open
Context window	200K	164K
Max output	64K	164K
Input $ / M tokens	$3	$0.24
Output $ / M tokens	$15	$0.90
Results tracked	58	60

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Category by category

Coding Claude Sonnet 4 leads

Claude Sonnet 4: 43.5 (#88), DeepSeek-V3: 42.3 (#106)

Coding benchmarks
Benchmark	Claude Sonnet 4	DeepSeek-V3
Aider Polyglot	61.3%	55.1%
SciCode	40%	35.8%
WeirdML	46.1%	36.1%
LMArena Coding	1414	1368
SWE-bench Verified (bash only)	64.9%	—
GSO	4.9%	—
BigCodeBench Instruct	—	50%
LiveBench Coding	—	70.9%
BigCodeBench Complete	—	62.2%
ALE-Bench	655.35	—
HumanEval+	—	86.6%
MBPP+	—	73%

Agentic & Tool Use Not comparable

Claude Sonnet 4: 38.5 (#31), DeepSeek-V3: —

Agentic & Tool Use benchmarks
Benchmark	Claude Sonnet 4	DeepSeek-V3
METR Time Horizons	62%	49.6%
TheAgentCompany	33.1%	—
Cybench	35%	—
DeepResearch Bench	46.6%	—
OSWorld	43.9%	—

Reasoning Claude Sonnet 4 leads

Claude Sonnet 4: 22.9 (#187), DeepSeek-V3: 20.5 (#236)

Reasoning benchmarks
Benchmark	Claude Sonnet 4	DeepSeek-V3
SimpleBench	45.5%	27.2%
Kagi LLM Benchmark	73%	52.3%
CritPt	0.3%	0%
LMArena Hard Prompts	1372	1365
DTBench	77.1%	64.8%
LMCA	29%	15.5%
Epoch Capabilities Index	141.69	135.94
ForecastBench	60.2	59.1
ARC-AGI-2	5.9%	—
ARC-AGI-1	40%	—
EnigmaEval	3.1%	—
LiveBench Reasoning	—	65.8%
LiveBench Data Analysis	—	60.9%
BIG-Bench Hard	—	87.5%
HellaSwag	—	88.9%
LiveBench	—	66.9%
PIQA	—	84.7%
WinoGrande	—	85.2%

Math Claude Sonnet 4 leads

Claude Sonnet 4: 43.3 (#80), DeepSeek-V3: 32.1 (#219)

Math benchmarks
Benchmark	Claude Sonnet 4	DeepSeek-V3
OTIS Mock AIME 2024-2025	71.1%	37.8%
Omni-MATH	60.2%	40.3%
LMArena Math	1375	1373
MATH Level 5	84.4%	75.5%
FrontierMath (Feb 2025 set)	4.1%	1.7%
LiveBench Math	—	73.5%
FrontierMath Tier 4 (v1)	0%	—

Knowledge Claude Sonnet 4 leads

Claude Sonnet 4: 41.8 (#108), DeepSeek-V3: 37.5 (#155)

Knowledge benchmarks
Benchmark	Claude Sonnet 4	DeepSeek-V3
GPQA Diamond	79.2%	67.6%
MMLU-Pro	84.3%	72.3%
Confabulations	13.2%	26.1%
Vectara Hallucination Rate	10.3%	6.1%
GPQA (HELM)	70.6%	53.8%
LMArena Expert	1372	1351
Humanity's Last Exam	7.8%	—
ARC (AI2) Challenge	—	95.3%
MMLU	—	87.2%
TriviaQA	—	82.9%

Multimodal Not comparable

Claude Sonnet 4: 26.2 (#121), DeepSeek-V3: —

Multimodal benchmarks
Benchmark	Claude Sonnet 4	DeepSeek-V3
LMArena Vision	1191	—
GeoBench	37%	—
VPCT	34%	—
MindCube	44.8%	—

Multilingual DeepSeek-V3 leads

Claude Sonnet 4: 46.7 (#156), DeepSeek-V3: 48.5 (#143)

Multilingual benchmarks
Benchmark	Claude Sonnet 4	DeepSeek-V3
LMArena Non-English	1333	1358
LMArena Chinese	1350	1391
LMArena French	1363	1385
LMArena German	1331	1374
LMArena Japanese	1302	1333
LMArena Korean	1291	1319
LMArena Russian	1355	1373
LMArena Spanish	1357	1358

Instruction Following DeepSeek-V3 leads

Claude Sonnet 4: 71.7 (#145), DeepSeek-V3: 72.8 (#130)

Instruction Following benchmarks
Benchmark	Claude Sonnet 4	DeepSeek-V3
IFEval	84%	83.2%
LMArena Instruction Following	1376	1345
LiveBench Instruction Following	—	81.5%

Long Context Too close to call

Claude Sonnet 4: 33.7 (#259), DeepSeek-V3: 34.0 (#253)

Long Context benchmarks
Benchmark	Claude Sonnet 4	DeepSeek-V3
Fiction.LiveBench	46.9%	50%
LMArena Longer Query	1398	1352

Writing & Preference Too close to call

Claude Sonnet 4: 57.1 (#132), DeepSeek-V3: 57.4 (#130)

Writing & Preference benchmarks
Benchmark	Claude Sonnet 4	DeepSeek-V3
LMArena Text	1351	1375
LMArena Creative Writing	1345	1364
Short-Story Creative Writing	81.4%	77%
EQ-Bench Creative Writing	1483	1472
WildBench	83.8%	83%
LMArena Multi-Turn	1376	1389
LiveBench Language	—	49.1%

Frequently asked questions

Is Claude Sonnet 4 better than DeepSeek-V3?

Which is cheaper, Claude Sonnet 4 or DeepSeek-V3?

DeepSeek-V3 is cheaper. It lists at $0.24 per million input tokens and $0.90 per million output tokens; Claude Sonnet 4 lists at $3 and $15.

Is Claude Sonnet 4 or DeepSeek-V3 better for coding?

Claude Sonnet 4 scores higher on coding benchmarks: 43.5 versus 42.3 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4 does, with 200K tokens against 164K.

How many benchmarks do Claude Sonnet 4 and DeepSeek-V3 share?

42 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and DeepSeek-V3 has 60.